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About

Marco Minelli is a robotics researcher whose work spans swarm robotics, teleoperation systems, and surgical robotics — three interconnected domains united by a focus on robust, autonomous, and human-collaborative robotic behavior. His most cited contribution, "Robust Area Coverage with Connectivity Maintenance" (2019, 48 citations), addresses one of swarm robotics' central challenges: designing decentralized control laws that produce reliable, globally coordinated behavior while preserving communication links between agents. This theme of resilient connectivity extends across several works, including his research on fallible multi-robot systems and self-optimizing topologies. Minelli has also made significant advances in bilateral teleoperation, pioneering two-layer architectures that leverage shared energy tanks to ensure passive, stable control of multi-arm surgical systems even under communication delays — work that has garnered over 30 citations. His surgical robotics contributions are particularly notable: he has developed cognitive architectures for semi-autonomous surgical assistance, explored augmented reality guidance for percutaneous nephrolithotomy, and validated multi-robot minimally invasive surgery platforms. A 2021 study on multi-modal learning for action segmentation in surgical contexts further demonstrates his commitment to introducing safe, intelligent autonomy in high-stakes clinical environments. With over 279 cumulative citations, Minelli's research meaningfully bridges theoretical robotics and real-world medical application.